Sentence examples for devoted to applying from inspiring English sources

Exact(11)

Thus, much of the course will be devoted to applying that paradigm to various settings.

Latching onto these ideas, Berwick helped start — and, for the next 19 years, run — the Institute for Healthcare Improvement, which was devoted to applying them to health care.

And in Silicon Alley, Flatiron Partners, the Internet venture capital firm, is starting two funds with some $5 million, devoted to applying the methods of the New Economy to social problems.

Organic light-emitting diodes (OLEDs) have been successfully commercialized in the mobile phone market, and considerable effort is currently being devoted to applying OLEDs in other commercial applications such as televisions (TVs) and lighting.

The second half is all about applications – to management, strategy and economics, with a chapter from Jean focusing on international development, mainly devoted to applying complexity thinking to Oxfam's programme in the Turkana region of northern Kenya and some work on savings group in western Kenya.

5, end of this section is devoted to applying the hybrid functions method for solving FDEs.

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Similar(49)

Sightseeing Devoted to applied and decorative arts like fashion, jewelry, textiles and photography, the Victoria and Albert Museum, on Cromwell Road, (44-115) 912-9184, www.ac.ukc.uk, is large without being taxing on museum-fatigued visitors.

This thematic volume is devoted to the applied ecology of European ecosystems, with a particular emphasis on the higher (i.e., multispecies) levels of organization.

Universities should continue to invest in curricula and hands-on programs devoted to these applied fields, as well as promote the social impact of traditional engineering fields where such impact is often underappreciated.

He joined MIT in 2013 and launched a lab devoted to developing and applying novel technologies for integrative and comprehensive understanding of brain function and dysfunction.

In Internet and social media analysis, (1) knowledge of the data-generation processes is particularly weak; and (2) there are large teams of engineers and data scientists devoted to developing and applying sophisticated data science tools.

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